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Enhancement of U.S. EPA PMF Source Apportionment Model

Client:
U.S. Environmental Protection Agency (EPA)

STI worked closely with EPA's Office of Research and Development to enhance the EPA Positive Matrix Factorization (PMF) source apportionment model, which can be used to analyze air, water, and soil quality data sets to determine pollutant sources. EPA PMF includes a graphical user interface that allows users to easily input data and generate, evaluate, and export results. The model is freely available and does not require a license or other software to use.
New features of EPA PMF 5.0 include

Two additional error estimation methods

Ability to read data from multiple sites

Ability to constrain source contributions and profiles

Reduced model run times

STI worked closely with EPA's Office of Research and Development to enhance EPA PMF. We develop and deliver comprehensive training on its use to regional and local air quality agencies.
EPA PMF 5.0 and supporting material can be accessed here.
Advanced analytics for interpreting EPA PMF solutions were developed and described in a report coauthored by STI staff.